Multi-Cell AoA Positioning via PMI and Interference Cancellation
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Solution Overview
Problem
Conventional positioning methods in LTE cellular systems, such as those using Cell-ID, timing advance, and fingerprinting, face challenges in accuracy and reliability, especially in indoor environments, due to limitations in Angle of Arrival (AoA) measurements and interference cancellation, leading to poor performance in determining the precise location of mobile devices.
Innovation Solution
Enhancing UE and radio node AoA determination through multi-cell PMI-based measurements, interference cancellation, and providing a signalling mechanism to deliver angular information to positioning nodes, enabling more accurate position estimation by considering AoA measurements across multiple cells and applying interference cancellation techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional positioning methods (Cell-ID, TA, fingerprinting) are used, then positioning service can be provided, but positioning accuracy is insufficient especially in indoor environments
Solution Approach 1:
The patent segments the positioning measurement process into multiple independent AoA measurements from different cells, rather than relying on a single measurement. Each cell provides an independent AoA measurement, and the final position is determined by combining multiple measurements, which improves both accuracy and reliability
Solution Approach 2:
The patent combines AoA measurements from multiple cells to determine the final position. By merging measurements from multiple independent sources (different cells), the system achieves better positioning accuracy and reliability compared to using a single measurement source
2Measurement precision
If single-cell AoA measurement is used, then measurement process is simple, but positioning accuracy is limited
Solution Approach 1:
The patent divides the positioning task into multiple separate AoA measurements taken from different cells. Each individual measurement remains relatively simple, but the collection of multiple segmented measurements provides enhanced accuracy without requiring each individual measurement to be overly complex
3Measurement precision
If interference cancellation is not applied, then processing is faster, but measurement accuracy deteriorates due to interference
Solution Approach 1:
The patent applies interference cancellation as a preliminary step before performing PMI-based AoA measurements. By removing interference effects beforehand, the subsequent measurements achieve higher accuracy without requiring excessively complex processing in later stages
Data Source
AI summary
The position of a mobile device served in a cell of a serving node of a wireless communication network is estimated by estimating an angle-of-arrival (AoA) between the mobile device and the serving node based on a precoding matrix indicator (PMI) determined for the serving node in a downlink direction or for the mobile device in an uplink direction. Also estimated is the AoA between the mobile device and a non-serving neighbor node of the wireless communication network based on a PMI determined for the neighbor node in the downlink direction or for the mobile device in the uplink direction. The downlink and/or uplink AoA estimation can be further enhanced by employing interference cancellation in the mobile device and in the radio node, respectively. The position of the mobile device is estimated based on the estimated AoAs.